Nose Tip Detection Using Shape index and Energy Effective for 3d Face Recognition
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 5
Abstract
Nose tip detection is an essential point in 3d face alignment, pose estimation and the discrimination process. A method to determine nose tip location based on exploiting local descriptors(shape index) from each point cloud on the 3d surface mesh is presented in this paper. Furthermore, theeffective energy constraint was appliedover each 3d mesh data point. Then NN-Nearest Neighbour classification methodwas applied in order to locate the nose tip and nose region based 3d feature extraction techniques.The detection method is also characterized by the refining of candidate points for nose tip regions and is robust against pose and expression variations.All computations were based on the pure 3D mesh data points of a face without texture information. The proposed method was tested using a 3d face image sample database FRAV3d, and GAVADB database. The experimental results show 96% and 76% correct nose tip detection for FRAV3d and GAVADB databases respectively
Authors and Affiliations
Sawsen Mahmood, Rana Ghani, Abdulamir Kerim
Keywords
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- EP ID EP99219
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